Project description:A major task in dissecting the genetics of complex traits is to identify causal genes for disease phenotypes. We previously developed a method to infer causal relationships among genes through the integration of DNA variation, gene transcription, and phenotypic information. Here we validated our method through the characterization of transgenic and knockout mouse models of candidate genes that were predicted to be causal for abdominal obesity. Perturbation of eight out of the nine genes, with Gas7, Me1 and Gpx3 being novel, resulted in significant changes in obesity related traits. Liver expression signatures revealed alterations in common metabolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enriched metabolic network module that is highly associated with metabolic traits in mice and humans. Integration of gene expression in the design and analysis of traditional F2 intercross studies allows high confidence prediction of causal genes, and identification of involved pathways and networks. This SuperSeries is composed of the following subset Series: GSE11991: Liver gene expression profiling of lipoprotein lipase heterozygous knockout mice GSE11992: Liver gene expression profiling of cytosolic malic enzyme knockout mice GSE11993: Liver gene expression profiling of zinc finger binding protein 90 (Zfp90) transgenic mice GSE11994: Liver gene expression profiling of transforming growth factor beta receptor 2 heterozygous knockout (Tgfbr2+/-) mice GSE11995: Liver gene expression profiling of complement component 3a receptor 1 knockout (C3ar1-/-) mice GSE11996: Gas7 male transgenic liver expression vs FVB male wildtype control GSE11997: Gpx3 male transgenic liver expression vs B6/DBA male wildtype control GSE11998: Gyk female heterozygous liver expression vs C57Bl/6J female wildtype control GSE11999: Lactb male transgenic liver expression vs FVB male wildtype control Refer to individual Series
Project description:A major task in dissecting the genetics of complex traits is to identify causal genes for disease phenotypes. We previously developed a method to infer causal relationships among genes through the integration of DNA variation, gene transcription, and phenotypic information. Here we validated our method through the characterization of transgenic and knockout mouse models of candidate genes that were predicted to be causal for abdominal obesity. Perturbation of eight out of the nine genes, with Gas7, Me1 and Gpx3 being novel, resulted in significant changes in obesity related traits. Liver expression signatures revealed alterations in common metabolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enriched metabolic network module that is highly associated with metabolic traits in mice and humans. Integration of gene expression in the design and analysis of traditional F2 intercross studies allows high confidence prediction of causal genes, and identification of involved pathways and networks. Keywords: Obesity study in transgenic animals A total of 16 mice were used for this study (7 Lactb transgenic and 9 FVB wildtype). The gene expression data is from the livers of 23 week old male wildtype and transgenic mice. These mice were fed a 4% fat chow diet until 11 weeks of age and then were fed a 6% fat chow diet until sacrifice at 23 weeks of age.
Project description:We identified genes expressed in mouse liver that are regulated by Cux2, a highly female-specific liver transcription factor whose expression is regulated by sex-dependent plasma GH patterns. Using adenovirus to overexpress Cux2 (Adeno-Cux2) in male liver, we show that Cux2 represses ~35% of male-biased genes and induces/de-represses ~35% of female-biased genes. Adeno-CMV was used as a control for adenoviral infection. (Published in: TL Conforto et al 2012, Mol Cell Biol. 2012, 32:4611-4627. PubMed PMID: 22966202; PMCID: PMC3486175)
Project description:We collected whole genome testis expression data from hybrid zone mice. We integrated GWAS mapping of testis expression traits and low testis weight to gain insight into the genetic basis of hybrid male sterility.
Project description:We identified genes expressed in mouse liver that are regulated by Cux2, a highly female-specific liver transcription factor whose expression is regulated by sex-dependent plasma GH patterns. Using siRNA to knockdown Cux2 expression in female liver, we show that female specific genes are predominantly repressed by Cux2 knockdown. In contrast, similar numbers of male-biased genes are repressed as are induced by Cux2 knockdown. A scrambled, non-specific siRNA was used as a control. (Published in: TL Conforto et al 2012, Mol Cell Biol. 2012, 32:4611-4627. PubMed PMID: 22966202; PMCID: PMC3486175)
Project description:We identified genes expressed in mouse liver that are regulated by Cux2, a highly female-specific liver transcription factor whose expression is regulated by sex-dependent plasma GH patterns. Using adenovirus to overexpress Cux2 (Adeno-Cux2) in male liver, we show that Cux2 represses ~35% of male-biased genes and induces/de-represses ~35% of female-biased genes. Adeno-CMV was used as a control for adenoviral infection. (Published in Molec Cell Biology, TL Conforto et al, 2012) Liver RNA isolated from the following eight groups of mice was used in the present study: (1) 8 wk old untreated male (M) mice (n = 10; 5 per each pool); (2) 8 wk old untreated female mice (F) mice (n = 11; 5 or 6 per each pool); (3) 8 wk old male mice treated with Adeno-Cux2 and euthanized 5 days later (n = 12; 6 per each pool); (4) 8 wk old female mice treated with Adeno-Cux2 and euthanized 5 days later (n = 8; 4 per each pool); (5) 8 wk old male mice treated with Adeno-CMV and euthanized 5 days later (n = 13; 6 or 7 per each pool); (6) 8 wk old female mice treated with Adeno-CMV and euthanized 5 days later (n = 7; 3 or 4 per each pool); (7) 8 wk old male mice treated with Adeno-Cux2 and euthanized 3 days later (n=11; 5 or 6 per each pool); (8) 8 wk old male mice treated with Adeno-CMV and euthanized 3 days later (n=11; 5 or 6 per pool). These RNA pools were used in four separate sets of competitive hybridization experiments: 1) 8 wk untreated M vs. 8 wk untreated F; 2) 8 wk M + Ad-Cux2 (5 day) vs. 8 wk M + Ad-CMV (5 day); 3) 8 wk F + Ad-Cux2 (5 day) vs. 8 wk F + Ad-CMV (5 day); 4) 8 wk M + Ad-Cux2 (3 day) vs. 8 wk M + Ad-CMV (3 day). Fluorescent labeling of RNA and hybridization of the Alexa 555-labeled (green) and Alexa 647-labeled (red) RNA samples to Agilent Mouse Gene Expression 4x44k v1 microarrays (Agilent Technology, Palo Alto, CA; catalog # G4122F-014868) were carried out, with dye swapping for each of the three hybridization experiments to eliminate dye bias. Two microarrays, one for each mixed cDNA sample, were hybridized for each of the four fluorescent reverse pairs, giving a total of 8 microarrays.